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with the strategic interests in developing ultra-efficient turbofans along with advancing propulsion integration and aerodynamic technologies. This project will help to de-risking the design of coupled
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extraction, manufacturing, and recycling, are underexplored. This project aims to enhance sustainable machine design through life cycle assessment (LCA), focusing on environmentally friendly materials and
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the models, ensuring usability, reliability, and integration into operational workflows. The successful candidate will benefit from interdisciplinary training in experimental design, advanced speech analysis
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Applications are invited for one full-time EPSRC Industrial CASE (ICASE) PhD studentship for each project. “Development of natural-ageing-resistant, heat-treatable lean aluminium alloys
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offers a fully funded, four-year PhD studentship which will start in October 2025 on one of the following themes: Theme 1: AI-Driven Solar Forecasting for Smarter PV Integration Theme 2: Next-Generation
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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cutting-edge research in quantum sciences and fosters future innovation. As a doctoral candidate, you will be part of the Vienna Doctoral School in Physics (VDSP), a vibrant community of over 100 quantum
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cutting-edge research in quantum sciences and fosters future innovation. As a doctoral candidate, you will be part of the Vienna Doctoral School in Physics (VDSP), a vibrant community of over 100 quantum
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: Dr James Yates, Director GSK Aligned programme of study: PhD in Mathematics Mode of study: Full-Time Project description: HIV remains one of the most persistent and challenging infections to cure due
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such as scRNA-seq, bulk RNA-seq, DNAm analysis, proteomics and clinical data integration to determine how IFN-I responses change during ageing. Application Procedure Applicants should submit a cover letter